Listar INIT_Articles por autoría "b91a68f5-214b-40a9-96bd-d63c23ee521a"
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Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
Springer (2023)Identifying structural differences among observed point patterns from several populations is of interest in several applications. We use deep convolutional neural networks and employ a Siamese framework to build a discriminant ... -
Multivariate product-shot-noise Cox point process models
Wiley (2015)We introduce a new multivariate product-shot-noise Cox process which is useful for modeling multi-species spatial point patterns with clustering intra-specific interactions and neutral, negative, or positive inter-specific ...
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Spatial point processes and neural networks: A convenient couple
Elsevier (2022)Different spatial point process models and techniques have been developed in the past decades to facilitate the statistical analysis of spatial point patterns. However, in some cases the spatial point process methodology ...
